基于网络编码的协同数据传输技术研究
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摘要
作为一种抵抗信道衰弱的方法,中继协同传输可以实现空间分集增益,获得更好的传输性能。而从有线传输理论中提出的网络编码理论,可以有效的提高网络吞吐量,提升传输效率。算法的改进重点针对去噪映射函数进行研究,以缩小星座图各点之间距离,减少错误率。设计出让映射图中欧式距离最大的方案,该算法将距离较近的星座图组成一个聚类,以成对错误概率最小化的目标,使得聚类与聚类之间的欧式距离最小,并进行模拟仿真。经结果对比,改进后的去噪转发算法,效果优于传统转发算法,在中继节点使用网络编码技术可以提高传输的吞吐量并相对减少误码率,在对应的实际场景中有很高的指导作用。
As a way to resist channel fading, relay cooperative transmission can achieve spatial diversity gain and get better transmission performance. The theory of network coding from the theory of wired transmission can effectively improve network throughput and improve transmission efficiency. The improvement of the algorithm focused on the denoising mapping function. The maximum Euclidean distance scheme in the transfer mapping was designed to narrow the distance between the points of the constellation and reduce the error rate. In this algorithm,constellation maps with close distances were clustered to minimize error probability, which the Euclidean distance between clustering and clustering was minimized and then simulated. The improved denoising and forwarding algorithm was better than the traditional forwarding algorithm. The results showed that the network coding technology can improve the throughput and reduce the bit error rate. It had a very high guiding role in the corresponding actual scenarios.
As a way to resist channel fading, relay cooperative transmission can achieve spatial diversity gain and get better transmission performance. The theory of network coding from the theory of wired transmission can effectively improve network throughput and improve transmission efficiency. The improvement of the algorithm focused on the denoising mapping function. The maximum Euclidean distance scheme in the transfer mapping was designed to narrow the distance between the points of the constellation and reduce the error rate. In this algorithm,constellation maps with close distances were clustered to minimize error probability, which the Euclidean distance between clustering and clustering was minimized and then simulated. The improved denoising and forwarding algorithm was better than the traditional forwarding algorithm. The results showed that the network coding technology can improve the throughput and reduce the bit error rate. It had a very high guiding role in the corresponding actual scenarios.
引文
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[16]杨贝贝.基于网络编码的无线中继传输机制的研究[D].长沙:湖南大学,2017:11-13.
[17] Hajipour J. Buffer aided relaying improves both throughput and end-to-end delay[J].Eurasip Journal on Wireless Communications&Networking,2015(1):1-17.
[18] Hajipour J,Leung C,Niya J M. Context-aware relay selection in buffer-aided wireless relay networks[J].IEEE Communications Letters,2016,20(12):2502-2505.
[2] Laneman J N,Tse D N C,Wornell G W. Cooperative diversity in wireless networks:Efficient protocols and outage behavior[J].IEEE Transactions on Information Theory,2004,50(12):3062-3080.
[3] Ali A,Ejaz A,Jabbar M,et al. Performance analysis of AF,DF and DtF relaying techniques for enhanced cooperative communication[C] Sixth International Conference on Innovative Computing Technology,IEEE,2017:594-599.
[4] Cover T,Gamal A E. Capacity theorems for the relay channel[M].IEEE Press,1979,25(5):572-584.
[5] Yeung R W,Zhang Z. Distributed source coding for satellite communications[J].IEEE Trans.inf.theory,1999,45(4):1111-1120.
[6] Gary Chartrand. Ping Zhang,Introduction to gragh theory[M].北京:人民邮电出版社,2007:229-238.
[7] Koetter R,Médard M.An algebraic approach to network coding[C].IEEE International Symposium on Information Theory,2001. Proceedings. IEEE,2002:104.
[8] Jaggi S,Sanders P,Chou P A,et al. Polynomial time algorithms for multicast network code construction[J].IEEE Transactions on Information Theory,2005,51(6):1973-1982.
[9]冯子豪.无线协同通信中的网络编码[D].南京:南京邮电大学,2011:40-45.
[10] Popovski P,Yomo H. The anti-packets can increase the achievable throughput of a wireless multi-hop network[C].IEEE International Conference on Communications.IEEE,2006:3885-3890.
[11]钱慕君.协同通信网络中的线性扩散码(LDC)研究[D].南京:南京邮电大学,2011:10-11.
[12]原泉.基于网络编码的无线协同中继技术研究[D].北京:北京邮电大学,2012.
[13]王海涛,张祯松,朱震宇,等.协同通信——提升无线通信系统性能的倍增器[J].数字通信世界,2014(3):1-6.
[14] Koike A T,Popovski P,Tarokh V. Optimized constellations for two-way wireless relaying with physical network coding[J].IEEE Journal on Selected Areas in Communications,2009,27(5):773-787.
[15]董敏华.全双工中继通信系统的性能研究[D].北京:北京邮电大学,2017:5-6.
[16]杨贝贝.基于网络编码的无线中继传输机制的研究[D].长沙:湖南大学,2017:11-13.
[17] Hajipour J. Buffer aided relaying improves both throughput and end-to-end delay[J].Eurasip Journal on Wireless Communications&Networking,2015(1):1-17.
[18] Hajipour J,Leung C,Niya J M. Context-aware relay selection in buffer-aided wireless relay networks[J].IEEE Communications Letters,2016,20(12):2502-2505.